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Papers
An Information Theoretic Perspective on Conformal Prediction
NeurIPS 2024
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
EMNLP 2024
Boosted Conformal Prediction Intervals
NeurIPS 2024
Calibrated and Conformal Propensity Scores for Causal Effect Estimation
UAI 2024
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification
ACL 2024
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
ICLR 2024
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
NeurIPS 2024
Conformal Autoregressive Generation: Beam Search with Coverage Guarantees
AAAI 2024
Conformal Contextual Robust Optimization
AISTATS 2024
Conformal Inductive Graph Neural Networks
ICLR 2024
Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition
NAACL 2024
Conformal Inverse Optimization
NeurIPS 2024
Conformalized Credal Set Predictors
NeurIPS 2024
Conformalized Deep Splines for Optimal and Efficient Prediction Sets
AISTATS 2024
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection
AISTATS 2024
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions
RSS 2024
Conformalized Time Series with Semantic Features
NeurIPS 2024
Conformal Language Modeling
ICLR 2024
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration
NeurIPS 2024
Conformal Prediction for Deep Classifier via Label Ranking
ICML 2024
Conformal prediction for multi-dimensional time series by ellipsoidal sets
ICML 2024
Conformal Prediction for Semantically-Aware Autonomous Perception in Urban Environments
CoRL 2024
Conformal Prediction Regions for Time Series Using Linear Complementarity Programming
AAAI 2024
Conformal Predictions under Markovian Data
ICML 2024
Conformal Prediction via Regression-as-Classification
ICLR 2024